Biomedical Engineering Reference
In-Depth Information
146. Hanson BJ, Wetter J, Bercher MR, Kopp L, Fuerstenau-Sharp M, Vedvik KL, Zielinski T,
Doucette C, Whitney PJ, Revankar C. A homogeneous fluorescent live-cell assay for
measuring 7-transmembrane receptor activity and agonist functional selectivity through
beta-arrestin recruitment. J. Biomol. Screen. 2009;14(7):798-810.
147. Fang Y, Frutos AG, Verklereen R. Label-free cell-based assays for GPCR screening.
Comb. Chem. High Throughput Screen. 2008;11(5):357-369.
148. Roman DL, Talbot JN, Roof RA, Sunahara RK, Traynor JR, Neubig RR. Identification of
small-molecule inhibitors of RGS4 using a high-throughput flow cytometry protein
interaction assay. Mol. Pharmacol. 2007;71(1):169-175.
149. Roman DL, Ota S, Neubig RR. Polyplexed flow cytometry protein interaction assay: a
novel high-throughput screening paradigm for RGS protein inhibitors. J. Biomol. Screen.
2009;14(6):610-619.
150. Binder C, Lafayette A, Archibeque I, Sun Y, Plewa C, Sinclair A, Emkey R. Optimization
and utilization of the SureFire phospho-STAT5 assay for a cell-based screening campaign.
Assay Drug Dev. Technol. 2008;6(1):27-37.
151. Chattopadhyay PK, Hogerkorp CM, RoedererM. A chromatic explosion: the development
and future of multiparameter flow cytometry. Immunology 2008;125(4):441-449.
152. Hahne F, LeMeur N, Brinkman RR, Ellis B, Haaland P, Sarkar D, Spidlen J, Strain E,
Gentleman R. flowCore: a Bioconductor package for high throughput flow cytometry.
BMC Bioinformatics 2009;10:106.
153. Le Meur N, Rossini A, GasparettoM, Smith C, Brinkman RR, Gentleman R. Data quality
assessment of ungated flow cytometry data in high throughput experiments. Cytometry A
2007;71(6):393-403.
154. Lo K, Hahne F, Brinkman RR, Gottardo R. flowClust: a Bioconductor package for
automated gating of flow cytometry data. BMC Bioinformatics 2009;10:145.
155. Boedigheimer MJ, Ferbas J. Mixture modeling approach to flow cytometry data.
Cytometry A 2008;73(5):421-429.
156. Pyne S, Hu X, Wang K, Rossin E, Lin TI, Maier LM, Baecher-Allan C, McLachlan GJ,
Tamayo P, Hafler DA, et al. Automated high-dimensional flow cytometric data analysis.
Proc. Natl. Acad. Sci. USA 2009;106(21):8519-8524.
157. Editorial. Standardizing data. Nat. Cell Biol. 2008;10(10):1123-1124.
158. Data file standard for flow cytometry. Data File Standards Committee of the Society for
Analytical Cytology. Cytometry 1990;11(3):323-332.
159. BrazmaA, Hingamp P, Quackenbush J, SherlockG, SpellmanP, Stoeckert C, Aach J, Ansorge
W, Ball CA, Causton HC, et al. Minimum information about a microarray experiment
(MIAME): toward standards for microarray data. Nat. Genet. 2001;29(4):365-371.
160. Lee JA, Spidlen J, Boyce K, Cai J, Crosbie N, Dalphin M, Furlong J, Gasparetto M,
Goldberg M, Goralczyk EM, et al. MIFlowCyt: the minimum information about a Flow
Cytometry Experiment. Cytometry A 2008;73(10):926-930.
161. Qian Y, Tchuvatkina O, Spidlen J, Wilkinson P, Gasparetto M, Jones AR, Manion FJ,
Scheuermann RH, Sekaly RP, Brinkman RR. FuGEFlow: data model and markup
language for flow cytometry. BMC Bioinformatics 2009;10:184.
162. Jones AR, Miller M, Aebersold R, Apweiler R, Ball CA, Brazma A, Degreef J, Hardy N,
Hermjakob H, Hubbard SJ, et al. The Functional Genomics Experiment model (FuGE):
an extensible framework for standards in functional genomics. Nat. Biotechnol.
2007;25(10):1127-1133.
Search WWH ::




Custom Search